golang-samber-slog

Mask PII in structured logs by applying specific attribute formatting handlers that intercept and redact sensitive data fields before output. This approach ensures data privacy compliance by consistently structuring error data and masking sensitive information within the logging pipeline.

Yes, slog supports multi-handler composition, allowing you to combine JSON, text, and external service outputs efficiently. You can route errors to Sentry, sample 10% of standard logs, and format PII-sensitive attributes simultaneously within a single customizable pipeline.

Multi-handler composition is the process of combining multiple log outputs like JSON, text, or external services efficiently within a single pipeline. It enables developers to build customizable, high-performance log processing workflows that enhance observability and debugging capabilities.

You need sampling strategies for Go application logs when you must control log volume in high-throughput environments. Threshold and rate-based sampling allow you to capture representative log data and maintain error visibility without overwhelming your observability backend.